Monthly Archives: June 2012

Google and Cancer, AKA, that is not a small number

A presentation at the Google I/O developers conference blew my mind today.  While the videos from I/O conferences are always fun to watch, the particularly mind-explody bit for me was the release of Google Compute Engine.  They showcased the technology by launching a 600000 core cluster in a matter of minutes. That is not a small […]

Learn something for free. Change the world.

Udacity started another round of courses this past week.  In case you’ve not heard of it yet, you should know, it’s going to change the world.  Udacity is a free online university, so far presenting courses that teach programming at several levels.  Over the next 7 weeks they’re bridging out into statistics, physics and discrete […]

The N-Queens problem

I’ve been thinking about depth first backtracking algorithms recently (more on what those are in a moment).  So when I couldn’t sleep on a recent over night train trip I decided to dust off a classic programming problem to pass the time. How many ways can you place 8 queens on a chessboard so that […]

Gender differences, Twitter and Videogames

I was recently introduced to Tweet-o-Life via the quite amazing Nathan Yau over at Flowing Data.  The Tweet-o-Life project was a study by Amaç Herdağdelen and Marco Baroni of habits on Twitter.  They looked at millions of tweets to identify behaviors of two kinds, ones based on gender and ones based on time of day.  They’ve since made […]

Text Message Analysis, Chapter 3

So far in our exploration text messaging, we’ve analyzed the time of day each message arrives and the structure of each message.  We’ve been able to pick out typical behaviors like timing of sleep cycles and life events like a trip to Switzerland.  We’ve found a relationship between the structure of messages and the kind […]

Victor Hugo, the original texter

By way of today’s episode of Ze Frank’s “a show” Victor Hugo wanted to know how his book, Les Miserables, was doing.  So he wrote his publisher.  All he included in his letter was  a single character, a “?”  His publisher wrote back with a single character, a “!”  So little information, so much exformation, […]

Text message analysis, chapter 2

Let’s continue with our analysis of text message behavior by shifting over into content.  One of the first things to understand is the form of each message.  What’s the length of each message? As a function of length, how does the content of the message change?  To begin with…

Text message analysis, chapter 1

A couple of months ago I read Stephen Wolfram’s article about analyzing his emails and saved files.  If you’ve not seen it yet, it’s definitely worth a read.  I was intrigued and wanted to apply a few of these analysis ideas to my own life.  I don’t have 30 years of saved email (yet), but […]